Evaluating the sensitivity of water stressed maize chlorophyll and structure based on UAV derived vegetation indices

Title
Evaluating the sensitivity of water stressed maize chlorophyll and structure based on UAV derived vegetation indices
Authors
Keywords
Stomatal conductance, Chlorophyll content, Leaf area index, Random forest, Artificial neural networks
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 185, Issue -, Pages 106174
Publisher
Elsevier BV
Online
2021-05-01
DOI
10.1016/j.compag.2021.106174

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started